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Leading Digital Collectibles Data
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About
This dataset provides a detailed compilation of the top 600 NFT collections, ranked by sales volume. Non-fungible tokens, or NFTs, are distinctive digital assets that represent real-world items such as art, music, or in-game objects. They are non-interchangeable and are frequently bought and sold online, often using cryptocurrency. This collection offers a snapshot of the NFT market, with information pulled on 16th January 2022, reflecting all-time sales figures for these leading collections up to that date. It offers valuable insights into the performance and characteristics of the most significant NFT ventures.
Columns
- Index: A unique identifier for each entry in the file.
- Name: The official name of the NFT collection.
- Volume: The total sales volume of the NFT collection, expressed in Solana (SOL).
- Volume_USD: The total sales volume of the NFT collection, expressed in United States Dollar (USD).
- Market_Cap: The market capitalisation of the collection, indicating the total value of its items currently in circulation, expressed in Solana (SOL).
- Market_Cap_USD: The market capitalisation of the collection, indicating the total value of its items currently in circulation, expressed in United States Dollar (USD).
- Sales: The total number of individual sales transactions recorded for the NFT collection.
- Floor_Price: The lowest listed price for any NFT within the collection, expressed in Solana (SOL). Note: Approximately 8% of entries for this column are missing.
- Floor_Price_USD: The lowest listed price for any NFT within the collection, expressed in United States Dollar (USD). Note: Approximately 8% of entries for this column are missing.
- Average_Price: The average price of an NFT within the collection, expressed in Solana (SOL).
- Average_Price_USD: The average price of an NFT within the collection, expressed in United States Dollar (USD).
- Owners: The total number of unique owners holding NFTs from the collection.
- Assets: The total number of items or NFTs available within the collection.
- Owner_Asset_Ratio: The ratio of owners to assets, indicating the ownership percentage of all items in the collection. Note: Approximately 8% of entries for this column are missing.
- Category: The categorisation of the NFT collection, such as 'Art'. Note: Approximately 48% of entries for this column are missing.
- Website: The official associated website address for the NFT collection. Note: Approximately 19% of entries for this column are missing.
- Logo: A link to the associated image or logo of the NFT collection. Note: One entry for this column is missing.
Distribution
The dataset is provided as a CSV file, typically named 'NFT_Top_Collections.csv', with a size of approximately 125.02 kB. It comprises 17 distinct columns detailing various metrics related to NFT collections. For most columns, there are 592 valid records, offering a substantial amount of data for analysis. However, some columns like 'Floor_Price', 'Floor_Price_USD', 'Owner_Asset_Ratio', 'Category', and 'Website' have a proportion of missing values, which should be considered during usage.
Usage
This dataset is ideal for a variety of applications and use cases, including:
- Market Research: Analysing trends and performance indicators within the NFT market.
- Investment Analysis: Identifying potentially lucrative or declining NFT collections.
- Blockchain Development: Informing the creation of new decentralised applications or platforms.
- Data Visualisation: Creating dashboards and visual reports on NFT market dynamics.
- Academic Studies: Researching digital asset economics, ownership patterns, and market behaviour.
Coverage
The data focuses on the top 600 NFT collections globally, based on their sales volume. The information was collected on 16th January 2022, and represents all-time figures for these collections up until that specific date. There is no specific geographic or demographic scope, as NFTs are digital assets traded online globally.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
This dataset is suitable for:
- NFT Investors: To identify high-performing collections and assess market risks.
- Market Analysts: To conduct in-depth research on the growth and trends of the NFT sector.
- Data Scientists: For building predictive models or exploring correlations within digital asset markets.
- Blockchain Enthusiasts: To gain a deeper understanding of leading NFT projects.
- Developers: To integrate real-time or historical NFT data into applications and services.
- Researchers: For academic purposes studying digital economics and blockchain technology.
Dataset Name Suggestions
- Top NFT Collections Sales Volume 2022
- Global NFT Market Insights
- Leading Digital Collectibles Data
- NFT Performance Metrics
- Historic NFT Collection Sales
Attributes
Original Data Source: Leading Digital Collectibles Data
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